Distributed supply chain simulation in GRIDS
Proceedings of the 32nd conference on Winter simulation
Object and Ownership Management in Air Traffic Control Simulations
DIS-RT '99 Proceedings of the 3rd International Workshop on Distributed Interactive Simulation and Real-Time Applications
An Agent-Based DDM Filtering Mechanism
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Grid-Based Data Management in Distributed Simulation
SS '00 Proceedings of the 33rd Annual Simulation Symposium
Dynamic Grid-Based Multicast Group Assignment in Data Distribution Management
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Parallel simulation: parallel and distributed simulation systems
Proceedings of the 33nd conference on Winter simulation
Parallel and distributed simulation
Applied system simulation
Intelligent agents, simulation, and gaming
Simulation and Gaming
Mobile agents for information retrieval in hybrid simulation environment
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
A scalable data distribution management approach
Proceedings of the 2010 Summer Computer Simulation Conference
Interest management for distributed virtual environments: A survey
ACM Computing Surveys (CSUR)
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The Data Distribution Management (DDM) service is one of the six services provided in the Runtime Infrastructure (RTI) of High Level Architecture (HLA). Its purpose is to perform data filtering and reduce irrelevant data communicated between federates. The two DDM schemes proposed for RTI, region-based and grid-based DDM, are oriented to send as little irrelevant data to subscribers as possible, but only manage to filter part of this information and some irrelevant data is still being communicated. In a previous paper [3], we employed intelligent agents to perform data filtering in HLA, implemented an agent-based DDM in RTI (ARTI) and compared it with the other two filtering mechanisms. This paper reports on additional experiments, results and analysis using two scenarios, the AWACS sensing aircraft simulation and the air traffic control simulation scenario. Experimental results show that compared with other mechanisms, the agent-based approach communicates only relevant data and minimizes network communication, and is also comparable in terms of time efficiency. Some guidelines on when the agent-based scheme can be used are also given.